Offline Face Recognition with Liveness Detection in Android

Partner: Udemy
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Description: In this hands-on course, you'll learn how to build a real-time liveness detection system (also called spoof detection) directly inside an Android app — without using any paid APIs or cloud services.Liveness detection helps confirm that the face in front of the camera is a real, live person — not just a photo, video, or mask. It’s a powerful feature used in banking apps, secure logins, KYC systems, and more.What Makes This Course Special?You’ll start by importing a complete real-time face recognition Android app (code provided in the course).New students: Everything is explained from scratch, including how the app works.Returning students: If you’ve taken my face recognition course, you can skip directly to the liveness detection section to enhance your existing app.Then, you'll learn to integrate a custom-trained TensorFlow Lite model that performs real-time spoof detection — and yes, the model is included in the course for free!What You'll Learn:What liveness detection is and why it’s importantReal-world threats like photo, video, and mask spoofingHow to run a free TFLite spoof detection model on live camera feedHow to add liveness detection to an existing face recognition appHow to build fully offline, secure Android AI featuresHow to test and evaluate spoof detection in real timeWho Should Take This Course?Android developers building camera-based or security appsDevelopers who’ve built face recognition apps and want to upgrade
Category: Development > Mobile Development > Android Development
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Price: 109.99
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Source: Impact
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